Free Download Udemy - AI Agents with Dify - Build No-Code AI Agents with Dify
Published: 4/2025
Created by: Henry Habib,The Intelligent Worker
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 42 Lectures ( 4h 14m ) | Size: 3.2 GB
No Coding Required | Build AI Apps, Chatbots, AI Agents and Workflows with Dify | Full Guide to Dify | No-Code AI Agents
What you'll learn
Build AI-powered applications using Dify's no-code platform
Create chatbots, AI agents, text generators, and workflow automation tools
Integrate LLMs & manage knowledge bases for smarter AI Agents responses
Orchestrate AI agents & workflows to improve efficiency
Publish, monitor & refine AI applications using Dify's built-in features
Learn Agentic AI to automate workflows and business processes
Integrate custom knowledge into your AI Apps and AI Agents
Add Tools to your AI Agents, enabling them to take action
Requirements
No coding experience needed
Basic understanding of automation & AI workflow
Description
Building AI-powered applications doesn't have to be complicated. Dify makes it easy. No coding, no infrastructure headaches-just a straightforward way to build powerful AI applications that integrate with LLMs and automate workflows.This course teaches you how to use Dify's no-code platform to create AI chatbots, AI agents, AI text generators, and AI automated workflows without dealing with security, hosting, or API management. You'll learn how to structure prompts, manage knowledge bases, and connect LLMs to make your AI apps smarter.By the end of this course, you'll be able to build and publish fully functional AI applications (agents, chatbots, workflows, and more) while leveraging Dify's intuitive no-code interface to create apps effortlessly.What's Dify and Why Dify?Dify is a no-code open-sourced platform to build AI Apps (which includes AI Agents, AI Workflows, AI Chatbots, and more). Creating AI applications used to be hard. It requires coding, infrastructure management, and deep technical expertise-but Dify removes these barriers. Instead of worrying about architecture, Dify lets you focus on building functional AI applications that get the job done without a single code.Dify has almost 100K stars on GitHub, making it a useful and well-maintained platform, plus it's open-source!What is this course all about and what will you learn?This course is your step-by-step guide to mastering Dify. Whether you want to build chatbots, automation tools, AI agents, or content generators, you'll learn how to:Use Dify's no-code interface to structure AI-powered appsIntegrate LLMs for smarter AI-generated responsesManage knowledge bases to improve app accuracyCreate chatbots, AI agents, generators, and automation workflowsIntegrate tools into your AI Agents to give them superpowersPublish and monitor your AI apps with Dify's built-in toolsThis course is hands-on, practical, and focused on real-world AI solutions, making AI app development simple and accessible to everyone without programming.Why choose this course?Complete guide - this is the 100% start to finish, zero to hero, basic to advanced guide on Dify. There is no other course like it that teaches you everything from start to finish. It contains over 4 hours of instructional content!Fully instructional - we not only go through important concepts, but also apply them as we are building our application so that we can solidify them. This is not only a walkthrough of the all the features and theoretical concepts, but a course that actually uses real-life examples and integrates workflows with you.Step by step - we go through every single concept one-by-one. This improves your probabilities of learning Dify fully rather than going haphazardly through each feature.Teacher response - if there's anything else you would like to learn, or if there's something you cannot figure out, I'm here for you! Look at the ways to reach out video.Course OverviewIntroduction - Learn what Dify is, its key components for AI agents' creation, and the overall course roadmap.GenAI / LLM / Agents Primer - Understand Generative AI and Large Language Models (LLMs), their limitations, and how they function within AI agents and workflows.Environment Setup - Setup your Dify account, explore the interface, and get familiar with the development environment.Build Your First GenAI / LLM App / Agent - Step-by-step guide to building different AI applications, including text generators, chatbots, AI agents, chatflows, and automated workflows.Components - Models - Explore various AI models, debug multiple models, adjust parameters for optimization, and integrate AI vision capabilities.Components - Tools - Learn how tools enhance AI agents, manage parameters effectively, integrate multiple tools, and create custom AI-powered tools.Components - Knowledge - Develop knowledge bases, structure AI memory using chunking strategies, and refine retrieval methods for improved responses.Components - Publishing - Understand how to publish AI applications, embed them into external platforms, utilize APIs, and monitor performance with logs and analytics.Conclusion & Certification - Wrap up key learnings and earn certification upon completion.If you want to learn how to improve your productivity by building AI Apps and Agents without coding using Dify, then this is the course for you. We're looking forward to having you in the course and hope you earn the certificate
Who this course is for
Business professionals looking to streamline workflows and busing AI agents without knowing how to code
Anyone curious about building powerful AI apps and AI agents in minutes, that is fully production ready and scaleable
Professionals and teams eager to boost productivity by integrating AI into their daily workflows-without writing a single line of code.
Entrepreneurs and business owners looking to streamline operations, automate tasks, and stay competitive using no-code AI tools
Managers and strategic leaders who want to confidently apply AI in real-world scenarios without getting bogged down in technical jargon or infrastructure
Developers wanting to integrate LLMs into AI-driven applications without worrying about infrastructure
Professionals who want to use AI Agents and AI workflows in their processes to be more productive
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